Neural Networks-not so Grey Matter

Src: DanaFoundation
Src : DanaFoundation

Artificial Neural Networks:

Lets take an example to understand it better. Suppose we have multiple inputs x1, x2 ,x3 and x4 based upon their importance they are being multiplied by their weights β1, β2, β3,β4 and are summed together like, We add a value called bias b:

z = β1*x1 + β2*x2 + β3*x3 + β4*x4+b

Single Artificial Neuron

Layers of ANN:

Fig 1.1

Optimizing weights

β = β-α*∂j/∂β

Conclusion:

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Amber Guglani

Amber Guglani

Data science professional. Always curious to learn and solve real world problems.